Brilliant breakdown of where analytics engineering is heading. The shift from LeetCode-style problems to business case studies actually mirrors what I've seen in production codebases too, where context matters way more than algorthmic tricks. The point about AI lulling teams into a false sense of security is spot on, I've debugged so much undocumented AI-generated code that looked perfect at first glance but had subtle logic errors baked in. Quality documentation becomes the real differentiator wen everyone can generate syntactically correct code.
Thanks so much! Absolutely! I think the end of LeetCode problems comes from AI being able to easily solve them and the business context being a key part of an AE role.
Brilliant breakdown of where analytics engineering is heading. The shift from LeetCode-style problems to business case studies actually mirrors what I've seen in production codebases too, where context matters way more than algorthmic tricks. The point about AI lulling teams into a false sense of security is spot on, I've debugged so much undocumented AI-generated code that looked perfect at first glance but had subtle logic errors baked in. Quality documentation becomes the real differentiator wen everyone can generate syntactically correct code.
Thanks so much! Absolutely! I think the end of LeetCode problems comes from AI being able to easily solve them and the business context being a key part of an AE role.